Latest news with #Processing
Indian Express
17 hours ago
- Automotive
- Indian Express
EaseMyTrip co-founder Prashant Pitti vows to cut Bengaluru traffic by 30% in one year
EaseMyTrip Co-founder Prashant Pitti Thursday announced a collaborative initiative aimed at reducing traffic congestion in Bengaluru by 25-30 per cent within a year. The plan, which brings together public institutions, private firms, and scientific minds on a common platform, was initiated following a series of high-level meetings over the past 10 days with key stakeholders, including Bengaluru traffic police, Bruhat Bengaluru Mahanagara Palike (BBMP), city police, Google India, IISc researchers, and mobility entrepreneurs. On social media platform X, Pitti described the collaboration as unprecedented, where for the first time all key public and private players will be working together. The initiative will rely heavily on data science, AI-driven simulations, and community involvement to enable real-time interventions and long-term systemic fixes. Among the immediate steps outlined, Pitti is exploring traffic simulation models with IISc and the traffic police's already established rerouting simulation tools that prioritise time over distance. Pitti has also approached Google, Uber, Ola, and Rapido to share anonymised data to strengthen predictive models. 'Once operational, these could anticipate and prevent gridlocks before they happen,' he said. Pitti has offered to take charge of an existing government grievance redressal app, expanding its scope beyond potholes to cover illegal parking, broken signals, waterlogging, and more. He said he was aiming to promote transparency by publicly showcasing complaints and resolution timelines. To prevent delays in road work due to unexpected rain, Pitti has also proposed a real-time weather predictor that will proactively address drainage-related disruptions. The approach signals a shift from infrastructure dependence to optimisation of existing systems using technology, intent, and data. 'If we continue to wait for infrastructure upgrades, we are merely playing catch-up,' Pitti said, emphasising that practical optimism and collaboration can solve what appears unfixable. Pitti has also launched a WhatsApp community to crowdsource feedback from daily commuters on trouble zones. He appealed to the public to contribute by identifying junctions with major congestion issues, helping the project pinpoint focus areas. This fresh announcement builds on an earlier offer made by Pitti on July 14, where he committed Rs 1 crore to fund a project aimed at identifying and solving choke points across Bengaluru using Google Maps' Road Management Insight, launched recently for city-level traffic analytics. The budget was proposed for hiring senior Machine Learning/Artificial Intelligence engineers, procuring Graphics Processing Unit resources and satellite imagery, funding Application Programming Interface calls, data storage, and creating detailed, time-based maps of chronic congestion zones.
Mint
3 days ago
- Mint
Do you really need an AI PC in 2025? -Explained-
AI is now baked into your browser, your apps, and now, your laptop. 'AI PC' has become the latest sticker on the box, with every major brand pushing models that come with dedicated AI hardware. But the real question is: are these next-gen machines actually useful, or is this just another spec bump wrapped in jargon? Let's break it down. An AI PC isn't just a laptop with smart features, it has hardware built specifically for AI workloads. The key ingredient is an NPU (Neural Processing Unit), a low-power chip designed to handle AI tasks locally, without relying on the cloud. This means things like real-time voice transcription, background blur, and AI summarisation happen on the device itself, faster and more securely. The current crop of AI PCs runs on Intel Core Ultra, AMD Ryzen AI 300, Qualcomm's Snapdragon X series, or Apple's M4 chip. These are the brains behind local Copilot access, smart camera effects in video calls, live captions, and even image generation tools. Because the timing finally makes sense. AI PCs are projected to account for nearly half of new laptop sales by the end of 2025. Demand for smarter features, improved battery life, and offline productivity has pushed manufacturers to go all in. You'll now find AI PCs across Windows (under the Copilot+ PC branding), macOS (with M4's improved ML cores), and even ARM-based machines. AI is becoming a standard. Performance boost: From quick photo clean-ups to running large language models locally, AI PCs make previously sluggish tasks seamless. Longer battery life: NPUs draw less power than CPUs or GPUs when running AI features, especially useful on the go. Better privacy: Since much of the AI processing happens on your device, there's less data being sent to external servers. Improved productivity: Copilot+ features like Recall, AI search across your files, and smart doc editing can genuinely save time, if you're the kind of user who'll use them. Future-proofing: AI workflows are only going to expand. Buying a capable machine now ensures you're ready for what's coming. You should consider an AI laptop if: You're a content creator, designer, or editor using apps that now come with AI baked in (like Adobe Firefly or DaVinci Resolve). You're in business or tech, juggling presentations, emails, meetings, and large datasets. You care about offline AI tools and don't want to depend on cloud services. You want a laptop that'll stay relevant for the next 3–5 years as AI capabilities grow. If your daily use revolves around Chrome, Excel, Netflix, and the occasional Word doc, you're not missing much. Also, AI laptops cost more upfront. You're paying a premium for power you might not use, yet. Budget-conscious buyers and students can comfortably opt for traditional laptops unless their workflow specifically benefits from on-device AI. If you're an early adopter or power user, AI PCs make sense right now. They're genuinely smarter, more efficient, and built for what's next. But if you're the average buyer, the smarter move might be to wait. Prices will fall, features will mature, and by 2026, most mainstream laptops will come with NPUs anyway.
Hamilton Spectator
3 days ago
- Business
- Hamilton Spectator
Embedded LLM Launches First-of-its-Kind Monetisation Platform for AMD AI GPUs
SINGAPORE, July 21, 2025 (GLOBE NEWSWIRE) — Embedded LLM today announced the global launch of TokenVisor, its monetisation and management platform for Graphics Processing Units (GPUs). The platform was first unveiled alongside AMD at the Advancing AI 2025 conference (Santa Clara, California) held in June. As organizations race to build 'AI factories,' they face a universal challenge: how to translate massive hardware investment into measurable revenue or departmental value. Without turnkey tools for billing, usage tracking, and multi-tenant management, the path from capital expenditure to positive ROI is often slow and complex. TokenVisor addresses this challenge head-on, providing the first such commercialization layer specifically for the growing AMD AI ecosystem. 'TokenVisor brings powerful new capabilities to the AMD GPU neocloud ecosystem, helping providers efficiently manage and monetise LLM workloads,' said Mahesh Balasubramanian, Senior Director of Product Marketing, Data Center GPU Business, AMD. The platform's impact is already being recognized by major industry hardware leaders. 'TokenVisor flips the economics of AI infrastructure,' said Kumar Mitra, general manager and managing director of Lenovo in Greater Asia Pacific. 'By pairing Lenovo ThinkSystem servers with AMD Instinct GPUs and TokenVisor's turnkey monetisation layer, our customers are launching revenue-generating LLM services at unprecedented speed and scale, providing the financial guardrails and chargeback capabilities that CIOs and CFOs require to confidently greenlight AI investments at scale. It's the key to unlocking the full economic potential of the AI factory.' Engineered to simplify operations, TokenVisor enables GPU owners to: 'The spirit of open collaboration we saw at Advancing AI 2025 is what drives us. TokenVisor is the hypervisor for the AI Token era , born from that spirit and engineered with insights from the AMD neocloud community. It's the tool that unlocks the potential of decentralized GPU computing by making it commercially viable for everyone. This launch is a critical milestone, turning the vision of an open AI ecosystem into a reality for the entire AMD community.' Early Adoption Highlights Global Demand Early adopters consistently report that TokenVisor 'took the guesswork out of commercialization.' By providing built-in tools to benchmark capacity, control resource supply, and automate billing, providers can confidently model their business and launch revenue-generating services in a matter of days—a process that previously took months of custom development. The platform's comprehensive support for popular LLM models and responsive technical support are also cited as critical factors in this rapid deployment and return on investment (ROI). For media enquiries, please contact: Jiaqi Lim Head of PR & Marketing pr@ About Embedded LLM Embedded LLM PTE. LTD. creates innovative Large Language Model (LLM) platforms, empowering organisations with generative AI. Inspired by its mission to build essential AI infrastructure for the knowledge economy, the company delivers robust and secure solutions. A significant open-source contributor, notably enhancing vLLM for AMD ROCm, Embedded LLM also offers open source tools like its JamAI Base no-/low-code LLM orchestration platform. The company is committed to making LLM technology accessible and fostering innovation within the open ecosystem. About AMD For more than 55 years, AMD has driven innovation in high-performance computing, graphics, and visualization technologies. Hundreds of millions of consumers, Fortune 500 businesses, and leading scientific research facilities around the world rely on AMD technology to improve how they live, work, and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit . About Lenovo Lenovo is a US$69 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit . A photo accompanying this announcement is available at
Toronto Star
3 days ago
- Business
- Toronto Star
Embedded LLM Launches First-of-its-Kind Monetisation Platform for AMD AI GPUs
The new platform signals a new phase of maturity for the AMD AI ecosystem, enabling providers to compete by rapidly deploying and billing for LLM services. Initially unveiled with AMD at the Advancing AI 2025 conference, the platform now launches globally to accelerate AI revenue for the entire neocloud ecosystem. SINGAPORE, July 21, 2025 (GLOBE NEWSWIRE) — Embedded LLM today announced the global launch of TokenVisor, its monetisation and management platform for Graphics Processing Units (GPUs). The platform was first unveiled alongside AMD at the Advancing AI 2025 conference (Santa Clara, California) held in June.
Economic Times
5 days ago
- Business
- Economic Times
Jensen Huang, AI visionary in a leather jacket
Agencies Unknown to the general public just three years ago, Jensen Huang is now one of the most powerful entrepreneurs in the world as head of chip giant Nvidia. The unassuming 62-year-old draws stadium crowds of more than 10,000 people as his company's products push the boundaries of artificial intelligence. Chips designed by Nvidia, known as graphics cards or GPUs (Graphics Processing Units), are essential in developing the generative artificial intelligence powering technology like ChatGPT. Big tech's insatiable appetite for Nvidia's GPUs, which sell for tens of thousands of dollars each, has catapulted the California chipmaker beyond $4 trillion in market valuation, the first company ever to surpass that mark. Nvidia's meteoric rise has boosted Huang's personal fortune to $150 billion -- making him one of the world's richest people -- thanks to the roughly 3.5 percent stake he holds in the company he founded three decades ago with two friends in a Silicon Valley diner. In a clear demonstration of his clout, he recently convinced President Donald Trump to lift restrictions on certain GPU exports to China, despite the fact that China is locked in a battle with the United States for AI supremacy. "That was brilliantly done," said Jeffrey Sonnenfeld, a governance professor at Yale was able to explain to Trump that "having the world using a US tech platform as the core protocol is definitely in the interest of this country" and won't help the Chinese military, Sonnenfeld said. Early life Born in Taipei in 1963, Jensen Huang (originally named Jen-Hsun) embodies the American success story. At nine years old, he was sent away with his brother to boarding school in small-town uncle recommended the school to his Taiwanese parents believing it to be a prestigious institution, when it was actually a school for troubled young to be a student, Huang boarded there but attended a nearby public school alongside the children of tobacco farmers. With his poor English, he was bullied and forced to clean toilets -- a two-year ordeal that transformed him."We worked really hard, we studied really hard, and the kids were really tough," he recounted in an interview with US broadcaster "the ending of the story is I loved the time I was there," Huang said. Leather jacket and tattoo Brought home by his parents, who had by then settled in the northwestern US state of Oregon, he graduated from university at just 20 and joined AMD, then LSI Logic, to design chips -- his he wanted to go further and founded Nvidia in 1993 to "solve problems that normal computers can't," using semiconductors powerful enough to handle 3D graphics, as he explained on the "No Priors" podcast. Nvidia created the first GPU in 1999, riding the intersection of video games, data centers, cloud computing, and now, generative AI. Always dressed in a black T-shirt and leather jacket, Huang sports a Nvidia logo tattoo and has a taste for sports it's his relentless optimism, low-key personality and lack of political alignment that sets him apart from the likes of Elon Musk and Mark Zuckerberg. Unlike them, Huang was notably absent from Trump's inauguration ceremony."He backpedals his own aura and has the star be the technology rather than himself," observed Sonnenfeld, who believes Huang may be "the most respected of all today's tech titans."One former high-ranking Nvidia employee described him to AFP as "the most driven person" he'd ever met. Street food On visits to his native Taiwan, Huang is treated like a megastar, with fans crowding him for autographs and selfies as journalists follow him to the barber shop and his favorite night market."He has created the phenomena because of his personal charm," noted Wayne Lin of Witology Market Trend Research Institute."A person like him must be very busy and his schedule should be full every day meeting big bosses. But he remembers to eat street food when he comes to Taiwan," he said, calling Huang "unusually friendly."Nvidia is a tight ship and takes great care to project a drama-free image of Huang. But the former high-ranking employee painted a more nuanced picture, describing a "very paradoxical" individual who is fiercely protective of his employees but also capable, within Nvidia's executive circle, of "ripping people to shreds" over major mistakes or poor choices. Elevate your knowledge and leadership skills at a cost cheaper than your daily tea. 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